Iterative transceiver optimization for linear multiuser MIMO channels with per-user MMSE requirements

Martin Schubert, Shuying Shi, Holger Boche

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

We address the problem of jointly optimizing linear transmit and receive filters for a multi-user MIMO system, under the assumption that all users have individual Minimum-Mean-Square-Error (MMSE) requirements. Each user can perform spatial multiplexing with several data streams (layers). All users and layers are coupled by interference, so the choice of filters is intricately interwoven with the power allocation strategy. The design goal is to minimize the total power subject to MMSE constraints. This results in a non-convex problem formulation, for which we propose an iterative algorithm. The iteration consists of alternating optimization of powers, transmit filters and receive filters. We prove that the total required power obtained by the algorithm is monotonically decreasing and converges to a limit.

Original languageEnglish
JournalEuropean Signal Processing Conference
StatePublished - 2006
Externally publishedYes
Event14th European Signal Processing Conference, EUSIPCO 2006 - Florence, Italy
Duration: 4 Sep 20068 Sep 2006

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